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Multidisciplinary Design Optimisation of Unmanned Aerial Vehicles (UAV) Using Multi-Criteria Evolutionary Algorithms
Overview A growing area in aerospace engineering is the use and development of Unmanned Aerial Vehicles (UAVs) for military and civilian applications. There are difficulties in the design of these vehicles because of the varied and non-intuitive nature of the configurations and missions that can be performed. Similar to their manned counterparts, the challenge is to develop trade-off studies of optimal configurations to produce a high performance aircraft that satisfy mission requirements. The goal in the study discussed in this paper is to address these issues from a multi-criteria and Multidisciplinary Design Optimisation (MDO) standpoint. This paper examines the requirements, initial development, and application of a framework for MDO of UAVs.
| Publisher | University of Sydney | File Format | |
|---|---|---|---|
| Date Published | June 2005 | Downloads | 1 |
| Format | White Papers | ||
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